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Why traditional data stacks stall agentic AI projects
Agentic AI stalls in production because traditional data stacks can't handle the speed, volume, or strict logic agents require. Scaling requires a low-latency "fast lane" for automated decisions and standardized business metrics before enabling full autonomy.







